3 research outputs found

    Prevalence of depression and anxiety in patients with chronic obstructive pulmonary disease and their association with psychosocial outcomes: A cross-sectional study from Pakistan.

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    ObjectivesChronic obstructive pulmonary disease contributes to substantial health and economic burden worldwide. Co-morbid depression and anxiety are highly prevalent in patients with chronic obstructive pulmonary disease. Depressive symptoms in chronic obstructive pulmonary disease are associated with poorer survival, longer hospitalisation and impaired quality of life. Literature on chronic obstructive pulmonary disease is largely derived from high-income countries; yet 90% of deaths related to chronic obstructive pulmonary disease occur in low- and middle-income countries. We aimed to establish the prevalence of anxiety and depression in patients with chronic obstructive pulmonary disease, as well as the association with psychosocial outcomes.MethodsThis was a cross-sectional study of chronic obstructive pulmonary disease patients attending outpatient primary care clinics in Karachi, Pakistan. The Patient Health Questionnaire-9 was used to assess depression and the Generalised Anxiety Disorder-7 scale was used for the assessment of anxiety. Health-related quality of life was assessed with EuroQol-Five Dimensions, social support with Oslo-3 and social stress with Life Events Checklist. We recruited 293 subjects.ResultsThe prevalence of depression and anxiety in the sample was 51% (n = 149) and 20% (n = 59), respectively. Depressed chronic obstructive pulmonary disease patients reported significantly lower health-related quality of life scores as compared to non-depressed patients. Participants with depression had significantly higher levels of anxiety, less social support, higher social stress and more subjective impairment in quality of life.ConclusionGiven the association with reduced social support and increased perceived stress, the role of psychosocial interventions must be explored in improving outcomes of chronic obstructive pulmonary disease patients in Pakistan

    Cost-Effectiveness of a Culturally Adapted Manual-Assisted Brief Psychological Intervention for Self-Harm in Pakistan: A Secondary Analysis of the Culturally Adapted Manual-Assisted Problem-Solving Training Randomized Controlled Trial

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    Objectives Self-harm is a serious public health problem. A culturally adapted manual-assisted problem-solving training (C-MAP) intervention improved and sustained the reduction in suicidal ideation, hopelessness, and depression compared with treatment as usual (TAU) alone. Here, we evaluate its cost-effectiveness. Methods Patients admitted after an episode of self-harm were randomized individually to either C-MAP plus TAU or TAU alone in Karachi. Improvement in health-related quality-adjusted life years (QALYs) was measured using the Euro Qol-5D-3L instrument at baseline and at 3 months and 6 months after randomization. The primary economic outcome was health service cost per QALY gained as the incremental cost-effectiveness ratio, based on 2019 US dollars and a 6-month time horizon. Nonparametric bootstrapping was used to assess uncertainties, and sensitivity analysis to examine the impact of hospitalization costs. Results A total of 108 and 113 participants were enrolled among the intervention and standard arms, respectively. The intervention resulted in 0.04 more QALYs (95% confidence interval [CI] 0.00–0.08) 6 months after enrolment. The mean cost per participant in the intervention arm was US 1001(951001 (95% CI 968–1031), resulting in an incremental cost of the intervention of US 640 (95% CI 595–679). The incremental cost-effectiveness ratio for the C-MAP intervention versus TAU was US 16 254(9516 254 (95% CI 7116–99 057) per QALY gained. The probability that C-MAP is cost-effective was between 66% and 83% for cost-effective thresholds between US 20 000 and US $30 000. Cost-effectiveness results remained robust to sensitivity analyses. Conclusions C-MAP may be a valuable self-harm intervention. Further studies with longer follow-up and larger sample sizes are needed to draw reliable conclusions
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